Data Analyst

Citi; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Citi AIM is a global data-driven platform within Citi. Bengaluru-based data professional will drive data quality, governance, and insights across US retail and wealth businesses. Work includes regulatory data measurements, rule design, and executive reporting to support decision making.

Collaborate with data engineers and stakeholders to standardize data definitions, catalogs, and lineage, while strengthening controls and audit readiness as part of the data strategy.

Qualifications

• Data analysis and visualization capabilities demonstrated.
• Formulating analytical methodology and identifying trends with data.
• Ability to generate actionable business insights.
• Methodical problem-solving with executive-level communication skills.

Responsibilities

• Regulatory Support: execution of data quality measurements per CCAR, AML and related programs.
• DQ rules design: identify critical data elements, design and validate data quality rules.
• Data Governance: standardization of data definitions across systems and regions.
• DQ Score cards: publish monthly/quarterly score cards and executive summaries.
• Issue Management: identify defects, root causes, and follow up to resolution per SLA.
• Audit Support: identify control gaps and provide data evidence for audits.

Skills

Data analysis

Data visualization

Analytical methodology

Actionable insights

Problem solving

Executive communication

Education

MBA / Mathematics / IT / CA / Engineering

Post Graduate in CS/Mathematics/OR/Management Science

Tools

SAS

SQL

MS Excel

PowerPoint

GenAI Platforms & Tooling

Job description

• GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques

AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world.

What do we offer

Data team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank and Wealth. The critical areas we support:

• Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
• DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules
• Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions
• DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management
• Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
• Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion

Expertise Required

Analytical Skills

• Data analysis and visualization
• Proficient in formulating analytical methodology, identifying trends and patterns with data
• Generate actionable Business Insights
• Methodical problem-solving, goal-oriented focus, process improvement drive, and executive-level communication proficiency.

(Preferred) -

Tools and Platforms

• Proficient in SAS, SQL
• Proficient in MS Excel, PowerPoint
• GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques

Domain Skills

Good understanding of

• Data definitions and data discovery
• Data Catalog, Lineage and Data quality framework
• Data Governance including identification of critical data elements, measuring and monitoring of CDE’s
• Process improvement experience pertains to compliance and data quality initiatives
• Identification of control gaps and providing recommendations as per data strategy
• Data Acumen: Understanding of data flow, storage, criticality, business rules, controls, and relevant technologies.
• Data Analysis & Interpretation: Ability to explore data, translate it into business context, establish quality standards, identify trends, investigate quality issues, and understand its ultimate utility.
• Good understanding of financial data

Soft Skills

• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Good process management skills
• Ability to work in teams

Educational and Experience

• MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
• (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry

Job Family Group

Decision Management

Job Family

Data/Information Management

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

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